Multimorbidity in middle-aged women and COVID-19: binary data clustering for unsupervised binning of rare multimorbidity features and predictive modeling
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
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1 Online-Ressource.
- Sprache
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Englisch
- Erschienen in
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Multimorbidity in middle-aged women and COVID-19: binary data clustering for unsupervised binning of rare multimorbidity features and predictive modeling ; volume:24 ; number:1 ; day:24 ; month:4 ; year:2024 ; pages:1-12 ; date:12.2024
BMC medical research methodology ; 24, Heft 1 (24.4.2024), 1-12, 12.2024
- Urheber
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Benny, Dayana
Giacobini, Mario
Costa, Giuseppe
Gnavi, Roberto
Ricceri, Fulvio
- Beteiligte Personen und Organisationen
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SpringerLink (Online service)
- DOI
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10.1186/s12874-024-02200-x
- URN
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urn:nbn:de:101:1-2407090949335.808150744733
- Rechteinformation
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.04.0016, 07:01 MEZ
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Beteiligte
- Benny, Dayana
- Giacobini, Mario
- Costa, Giuseppe
- Gnavi, Roberto
- Ricceri, Fulvio
- SpringerLink (Online service)
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